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Agent skill

Building Neural Networks

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin.

MITAuto-check passedAI & LLM Engineering

Install Building Neural Networks

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill building-neural-networks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace building-neural-networks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/building-neural-networks .claude/skills/building-neural-networks && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
building-neural-networks
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
443 words
Files
4 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin.

  • Works in 3 steps: Analyzing Requirements: Claude analyzes… → Generating Configuration: Based on the… → Executing Build: Claude executes the…
  • Requests the creation of a new neural network
  • SKILL.md covers Overview, How It Works, When to Use This Skill and Examples, plus 7 more sections
  • Modification of an existing one

What it does

Building Neural Networks is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin. it should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `scripts/README.md`). Compatibility notes: Designed for Claude Code

It sits in AI & LLM Engineering, covering Deep learning. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Requests the creation of a new neural network
  • Modification of an existing one
  • Appropriate context detected
  • With relevant phrases based on skill purpose

Example prompts

  • “/building-neural-networks”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(cmd:*)

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Analyzing Requirements: Claude analyzes the user's request to understand the desired neural network architecture, task, and performance…
  2. Generating Configuration: Based on the analysis, Claude generates the appropriate configuration for the neural-network-builder plugin…
  3. Executing Build: Claude executes the build-nn command, triggering the neural-network-builder plugin to construct the neural network based…

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Building Neural Networks loads about 1k tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 443 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 443 words, ~1,027 tokens.

Download SKILL.mdSave it as .claude/skills/building-neural-networks/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
building-neural-networks
description
Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin. it should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(cmd:*)
compatibility
Designed for Claude Code
version
1.20.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
ai, neural-networks

Neural Network Builder

Design and construct neural network architectures with configurable layers, activation functions, and training parameters for tasks like classification, generation, and sequence modeling.

Overview

This skill empowers Claude to design and implement neural networks tailored to specific tasks. It leverages the neural-network-builder plugin to automate the process of defining network architectures, configuring layers, and setting training parameters. This ensures efficient and accurate creation of neural network models.

How It Works

  1. Analyzing Requirements: Claude analyzes the user's request to understand the desired neural network architecture, task, and performance goals.
  2. Generating Configuration: Based on the analysis, Claude generates the appropriate configuration for the neural-network-builder plugin, specifying the layers, activation functions, and other relevant parameters.
  3. Executing Build: Claude executes the build-nn command, triggering the neural-network-builder plugin to construct the neural network based on the generated configuration.

When to Use This Skill

This skill activates when you need to:

  • Create a new neural network architecture for a specific machine learning task.
  • Modify an existing neural network's layers, parameters, or training process.
  • Design a neural network using specific layer types, such as convolutional, recurrent, or transformer layers.

Examples

Example 1: Image Classification

User request: "Build a convolutional neural network for image classification with three convolutional layers and two fully connected layers."

The skill will:

  1. Analyze the request and determine the required CNN architecture.
  2. Generate the configuration for the build-nn command, specifying the layer types, filter sizes, and activation functions.
Show full SKILL.md (202 more words)Show less
Example 2: Text Generation

User request: "Define an RNN architecture for text generation with LSTM cells and an embedding layer."

The skill will:

  1. Analyze the request and determine the required RNN architecture.
  2. Generate the configuration for the build-nn command, specifying the LSTM cell parameters, embedding dimension, and output layer.

Best Practices

  • Layer Selection: Choose appropriate layer types (e.g., convolutional, recurrent, transformer) based on the task and data characteristics.
  • Parameter Tuning: Experiment with different parameter values (e.g., learning rate, batch size, number of layers) to optimize performance.
  • Regularization: Implement regularization techniques (e.g., dropout, L1/L2 regularization) to prevent overfitting.

Integration

This skill integrates with the core Claude Code environment by utilizing the build-nn command provided by the neural-network-builder plugin. It can be combined with other skills for data preprocessing, model evaluation, and deployment.

Prerequisites

  • Appropriate file access permissions
  • Required dependencies installed

Instructions

  1. Invoke this skill when the trigger conditions are met
  2. Provide necessary context and parameters
  3. Review the generated output
  4. Apply modifications as needed

Output

The skill produces structured output relevant to the task.

Error Handling

  • Invalid input: Prompts for correction
  • Missing dependencies: Lists required components
  • Permission errors: Suggests remediation steps

Resources

  • Project documentation
  • Related skills and commands

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references, assets) in skills/.curated/building-neural-networks of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • scripts/README.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Building Neural Networks next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Building Neural Networks compared with similar skills
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Building Neural Networks this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
Add Oponnx/onnx22k—~1.2kAutomated safety check: PassApache-2.0
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT
Add Function Bodyonnx/onnx22k—~1.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Building Neural Networks

What does Building Neural Networks do?

Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin. Building Neural Networks is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin.

When should I use Building Neural Networks?

Building Neural Networks fits situations like: requests the creation of a new neural network; modification of an existing one; appropriate context detected; with relevant phrases based on skill purpose.

How do I install Building Neural Networks in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill building-neural-networks -a claude-code`. Or copy the skill folder (skills/.curated/building-neural-networks in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/building-neural-networks in your project. Claude Code loads it when a task matches its description.

How do I install Building Neural Networks in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill building-neural-networks -a codex`. Or copy the skill folder (skills/.curated/building-neural-networks in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/building-neural-networks in your project. Codex loads it when a task matches its description.

Can I use Building Neural Networks in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill building-neural-networks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-neural-networks, .gemini/skills/building-neural-networks, .github/skills/building-neural-networks and .opencode/skills/building-neural-networks in your project.

What does Building Neural Networks need to run?

SKILL.md names no scripts, command-line tools or credentials: Building Neural Networks is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Building Neural Networks access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Building Neural Networks safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Building Neural Networks use?

Building Neural Networks is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Building Neural Networks use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17 tokens, read only when the agent opens those files.

What are the alternatives to Building Neural Networks?

Skills that share tags, products or a category with Building Neural Networks: Add Uint Support (pytorch/pytorch, 104k stars), Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Op (onnx/onnx, 22k stars) and CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Building Neural Networks?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.